echoloc

Wadhwani Foundation Tech Stack

Job creation platform for emerging economies using AI-driven skilling and employer networks

Non-profit Organizations Los Altos, CA 51–200 employees Nonprofit

Wadhwani Foundation operates a job-creation initiative across emerging economies, built on a modern AI stack (LangGraph, LlamaIndex, Azure OpenAI, LangChain, CrewAI) paired with traditional backend infrastructure (Node.js, Python, PostgreSQL, MongoDB). The tech shape reveals a foundation scaling generative AI systems for content generation and LLM evaluation—addressing explicit pain points around hallucination detection and reliability at scale. Hiring velocity is accelerating with senior and lead engineers dominating the mix, suggesting active buildout of production AI systems rather than policy-only work.

Tech Stack 67 technologies

Core StackPower BI Node.js Python PostgreSQL MongoDB FastAPI AWS LangChain React Docker Kubernetes Express React Native Azure LangGraph LlamaIndex Azure OpenAI GCP Runpod Streamlit MCP DeepEval Ragas LangSmith Promptfoo TruLens OpenAI Evals AutoGen CrewAI Vyond+37 more

What Wadhwani Foundation Is Building

Challenges

  • Aligning skilling initiatives with employment priorities
  • Scaling genai systems for millions of users
  • Expanding skilling ecosystem
  • Scaling demand-led ecosystem
  • Misalignment of training content with industry needs
  • Scaling employer engagement for placements
  • Ensuring reliability of generative ai
  • Detecting hallucinations in llms
  • Building quality infrastructure at scale
  • Onboarding training partners

Active Projects

  • Rag & agentic pipelines with langgraph and llamaindex
  • Designing and implementing skilling programs
  • Building and scaling demand-led ecosystem
  • Expanding supply-side ecosystem
  • Pilot initiatives with employers to validate and scale engagement models
  • Establish and manage industry advisory councils
  • Co-create and validate training content aligned to industry needs
  • Production deployment of llms at scale
  • Multimodal content generation automation (audio, image, video)
  • Design evaluation frameworks for generative ai

Hiring Activity

Accelerating8 roles · 8 in 30d

Department

Engineering
4
Ops
2
Marketing
1
Sales
1

Seniority

Senior
5
Lead
2
Manager
1

Notable leadership hires: Program Lead

Company intelligence

Find more companies like Wadhwani Foundation by tech stack, pain points and active projects

Get started free

About Wadhwani Foundation

Wadhwani Foundation, established in 2001, runs a nonprofit focused on job creation and wage growth in emerging economies through four core pillars: Entrepreneurship, Skilling, Innovation & Research, and Government Digital Transformation. The organization designs and operates skills training programs aligned to employer demand, manages industry advisory councils, and pilots engagement models to validate placement pathways. Recent work emphasizes production deployment of large language models and multimodal content generation to scale training delivery across millions of users. The foundation operates primarily in India with a 51–200 person team based in Los Altos, California.

HeadquartersLos Altos, CA
Company Size51–200 employees
Hiring MarketsIndia

Frequently Asked Questions

What AI and ML tools does Wadhwani Foundation use?

The foundation uses LangGraph, LlamaIndex, LangChain, and CrewAI for agentic pipelines; Azure OpenAI and OpenAI Evals for LLM deployment; and DeepEval, Ragas, TruLens, and Promptfoo for generative AI evaluation and hallucination detection.

Where does Wadhwani Foundation hire?

Wadhwani Foundation is actively hiring in India across engineering, operations, marketing, and sales functions.

How this profile is built

Wadhwani Foundation's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.